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Car Dealer Chatbot

Client

The client is one of the leading premium car dealerships in the Middle East. Along with introducing new products to suit the needs of nearly every consumer, they continue to grow closer to customers with the expansion of its dealership network as well as ensuring customer satisfaction and convenience.

Industry

Automotive

Overview

In an increasingly competitive automobile marketplace, car dealers are adopting digital strategies that improve customer experiences. We developed a chatbot that uses Artificial Intelligence (AI), machine learning, and Natural Language Processing (NLP) tools to simulate a human-like communications architecture using dynamic data. With AutoMate, our client leverages the power of AI to provide a seamless omnichannel customer experience.

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Business Requirement

  • Capture opportunities across digital touchpoints
  • Optimize digital channels such as mobile and web to generate leads
  • 24X7 sales and customer support
  • Automation of customer service and sales processes
  • Instant response to customer inquiries
  • Interpret and respond to queries in multiple languages
  • Uses order history to recommend products and services

QBurst Solution

The automotive dealer chatbot is built on top of the IBM Watson AI platform. Natural language processing and machine learning techniques are used to interpret queries, ask questions, and construct responses.

Chatbot plugin: The plugin provides the interface to handle all text queries and responses. It is installed on the platform where the bot is to function.

Admin panel: Dashboard displays chat history, conversation trends, and contacts extracted from chat sessions.

Bot engine: This is the brain of the car dealer chatbot that uses machine learning to interpret shopper queries and converts them to corresponding intents. The dialog management part of the chatbot engine defines the workflow for car dealerships.

Backend API: The API server interacts with the frontend plugin, accepts incoming requests, processes them, and prepares appropriate responses. The chat solution resides on the cloud and can be integrated with websites, messaging platforms, third-party tools, and databases.

Key Features

  • Recommend vehicles based on buyer preferences with model comparisons
  • Schedule test drives
  • Choose date and time for vehicle servicing
  • Combines data to predict customer intentions
  • Formulates natural responses and determines follow-up action
  • Automatically obtains customer/prospect details based on past conversations, to create a communications channel
  • Continuous improvement based on conversational data

Business Benefits

By applying AutoMate’s AI and machine learning capabilities during the customer journey, our client accomplished measurable business benefits.

  • 35% increase in sales inquiries
  • Reduced operational expenditure by 15%
  • Improved customer engagement and CSAT scores
  • Broadened reach; increased depth of engagement
  • Instantaneous responses without human intervention
  • Customer service on par with human operators

Technologies

  • Node.js
  • IBM Watson Assistant

Business Requirement

  • Capture opportunities across digital touchpoints
  • Optimize digital channels such as mobile and web to generate leads
  • 24X7 sales and customer support
  • Automation of customer service and sales processes
  • Instant response to customer inquiries
  • Interpret and respond to queries in multiple languages
  • Uses order history to recommend products and services

QBurst Solution

The automotive dealer chatbot is built on top of the IBM Watson AI platform. Natural language processing and machine learning techniques are used to interpret queries, ask questions, and construct responses.

Chatbot plugin: The plugin provides the interface to handle all text queries and responses. It is installed on the platform where the bot is to function.

Admin panel: Dashboard displays chat history, conversation trends, and contacts extracted from chat sessions.

Bot engine: This is the brain of the car dealer chatbot that uses machine learning to interpret shopper queries and converts them to corresponding intents. The dialog management part of the chatbot engine defines the workflow for car dealerships.

Backend API: The API server interacts with the frontend plugin, accepts incoming requests, processes them, and prepares appropriate responses. The chat solution resides on the cloud and can be integrated with websites, messaging platforms, third-party tools, and databases.

Key Features

  • Recommend vehicles based on buyer preferences with model comparisons
  • Schedule test drives
  • Choose date and time for vehicle servicing
  • Combines data to predict customer intentions
  • Formulates natural responses and determines follow-up action
  • Automatically obtains customer/prospect details based on past conversations, to create a communications channel
  • Continuous improvement based on conversational data

Business Benefits

By applying AutoMate’s AI and machine learning capabilities during the customer journey, our client accomplished measurable business benefits.

  • 35% increase in sales inquiries
  • Reduced operational expenditure by 15%
  • Improved customer engagement and CSAT scores
  • Broadened reach; increased depth of engagement
  • Instantaneous responses without human intervention
  • Customer service on par with human operators

Technologies

  • Node.js
  • IBM Watson Assistant
Car Dealer Chatbot

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